Packages

c

optimus.optimization

AbstractMPSolver

abstract class AbstractMPSolver extends StrictLogging

Abstract class that should be extended to define a linear-quadratic solver.

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Instance Constructors

  1. new AbstractMPSolver()

Abstract Value Members

  1. abstract def addConstraint(mpConstraint: MPConstraint): Unit

    Add a mathematical programming constraint to the solver.

    Add a mathematical programming constraint to the solver.

    mpConstraint

    the mathematical programming constraint

  2. abstract def addObjective(objective: Expression, minimize: Boolean): Unit

    Add objective expression to be optimized by the solver.

    Add objective expression to be optimized by the solver.

    objective

    the expression to be optimized

    minimize

    flag for minimization instead of maximization

  3. abstract def buildProblem(nbRows: Int, nbCols: Int): Unit

    Problem builder, should configure the solver and append mathematical model variables.

    Problem builder, should configure the solver and append mathematical model variables.

    nbRows

    rows in the model

    nbCols

    number of variables in the model

  4. abstract def getValue(colId: Int): Double

    Get value of the variable in the specified position.

    Get value of the variable in the specified position. Solution should exist in order for a value to exist.

    colId

    position of the variable

    returns

    the value of the variable in the solution

  5. abstract val nbCols: Int

    Number of columns / variables in the model

  6. abstract val nbRows: Int

    Number of rows in the model

  7. abstract val objectiveValue: Double

    Objective value

  8. abstract def release(): Unit

    Release the memory of this solver

  9. abstract def setBinary(colId: Int): Unit

    Set the column / variable as an binary integer variable

    Set the column / variable as an binary integer variable

    colId

    position of the variable

  10. abstract def setBounds(colId: Int, lower: Double, upper: Double): Unit

    Set bounds of variable in the specified position.

    Set bounds of variable in the specified position.

    colId

    position of the variable

    lower

    domain lower bound

    upper

    domain upper bound

  11. abstract def setFloat(colId: Int): Unit

    Set the column/variable as a float variable

    Set the column/variable as a float variable

    colId

    position of the variable

  12. abstract def setInteger(colId: Int): Unit

    Set the column/variable as an integer variable

    Set the column/variable as an integer variable

    colId

    position of the variable

  13. abstract def setTimeout(limit: Int): Unit

    Set a time limit for solver optimization.

    Set a time limit for solver optimization. After the limit is reached the solver stops running.

    limit

    the time limit

  14. abstract def setUnboundLowerBound(colId: Int): Unit

    Set lower bound to unbounded (infinite)

    Set lower bound to unbounded (infinite)

    colId

    position of the variable

  15. abstract def setUnboundUpperBound(colId: Int): Unit

    Set upper bound to unbounded (infinite)

    Set upper bound to unbounded (infinite)

    colId

    position of the variable

  16. abstract val solution: Array[Double]

    Solution, one entry for each column / variable

  17. abstract def solveProblem(preSolve: PreSolve = PreSolve.DISABLE): ProblemStatus

    Solve the problem.

    Solve the problem.

    preSolve

    pre-solving mode

    returns

    status code indicating the nature of the solution

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def addAllConstraints(constraints: ArrayBuffer[MPConstraint]): Unit

    Add all given mathematical programming constraints to the solver.

    Add all given mathematical programming constraints to the solver.

    constraints

    array buffer containing the constraints

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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